Abstract. A system for automatic composition using grammatical evolution is presented. Compositions are created under the constraints of a generative grammar, and under the bias of...
Abstract. We demonstrate that selective attention can improve learning. Considerably fewer samples are needed to learn a source separation problem when the inputs are pre-segmented...
Abstract— Exact-form results are presented for integrals involving higher-order power of the one dimensional Gaussian Q-function over identical and nonidentically distributed mul...
Abstract. Context-aware systems must be able to deal with uncertain context information. We propose a generic context architecture and representation that incorporates the uncertai...
Abstract. We propose semantic distance measures based on the criterion of approximate discernibility and on evidence combination. In the presence of incomplete knowledge, the dista...